机构:[a]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China[b]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P. R. China[c]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, P. R. China[d]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, P. R. China神经内科首都医科大学宣武医院[e]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, P. R. China[f]National Clinical Research Center for Geriatric Disorders, Beijing, P. R. China[g]PKU Care Rehabilitation Hospital, Beijing, P. R. China
Amnestic mild cognitive impairment (aMCI) is accompanied by the accelerated cognitive decline and rapid brain degeneration with aging. However, the age-related alterations of the topological organization of the brain connectome in aMCI patients remained largely unknown. In this study, we constructed the brain structural connectome in 51 aMCI patients and 51 healthy controls by diffusion magnetic resonance imaging and deterministic tractography. The different age-related alteration patterns of the global and regional network metrics between aMCI patients and healthy controls were assessed by a linear regression model. Compared with healthy controls, significantly decreased global and local network efficiency in aMCI patients were found. When correlating network efficiency with age, we observed a significant decline in network efficiency with aging in the aMCI patients, while not in the healthy controls. The age-related decreases of nodal efficiency in aMCI patients were mainly distributed in the key regions of the default-mode network, such as precuneus, anterior cingulate gyrus, and parahippocampal gyrus. In addition, age-related decreases in the connection strength of the edges between peripheral nodes were observed in aMCI patients. Moreover, the decreased regional efficiency of the parahippocampal gyrus was correlated with impaired memory performances in patients. The present study suggests an age-related disruption of the topological organization of the brain structural connectome in aMCI patients, which may provide evidence for different neural mechanisms underlying aging in aMCI and may serve as a potential imaging marker for the early diagnosis of Alzheimer's disease. (C) 2017 Elsevier Inc. All rights reserved.
基金:
the National Key Research and Development Program of China (2016YFC1306300),
the 973 program (2013CB837300),
National Natural Science Foundation of China (31371007, 81430037, 61633018, 81471732, and 81671761),
Beijing Municipal Government (PXM2017_026283_000002),
Beijing Nature Science Foundation (7161009),
Beijing Municipal Science & Technology Commission (Z161100002616020),
Fundamental and Clinical Cooperative Research Program of Capital Medical University (16JL-L08),
Fundamental Research Funds for the Central Universities (2017XTCX04),
Health and Family Planning Commission of Shunyi District Beijing,
Opening Foundation of Key Laboratory of Behavioral Science, Chinese Academy of Sciences.
第一作者机构:[a]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China[b]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P. R. China[c]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, P. R. China
共同第一作者:
通讯作者:
通讯机构:[*1]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.[*2]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing 100053, China.
推荐引用方式(GB/T 7714):
Tengda Zhao,Can Sheng,Qiuhui Bi,et al.Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment[J].NEUROBIOLOGY OF AGING.2017,59:144-155.doi:10.1016/j.neurobiolaging.2017.08.005.
APA:
Tengda Zhao,Can Sheng,Qiuhui Bi,Weili Niu,Ni Shu&Ying Han.(2017).Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment.NEUROBIOLOGY OF AGING,59,
MLA:
Tengda Zhao,et al."Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment".NEUROBIOLOGY OF AGING 59.(2017):144-155